WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
InfoQ

Google’s Eight Essential Multi-Agent Design Patterns

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...
Homeland Security Today

Army Establishes New AI and Machine Learning Career Path For Officers

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...

OSS Announces the Sale of Bressner Technology GmbH to Hiper Euro GMBH

Strategic Transaction Sharpens Focus on Core AI, ML and Rugged Edge Compute Markets Accelerates OSS’s Next Phase of Growth ...
Medical Dialogues

Machine Learning Enables Personalized Prediction of Glaucoma Progression, Suggests Research

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
IEEE

Distributed Multi-Task In-Network Classification on Programmable Switches by Ensemble Models

Abstract: Offloading machine learning models for network classification on high-throughput programmable switches is a promising technology, enabling line-speed in-network classification. Existing ...
IEEE

MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction

Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...
Frontiers

Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review

Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...
Frontiers

Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention

The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. Numerous machine learning and ...
Scientific Research Publishing

Research on Fault Detection and Classification of Industrial Equipment Based on Machine Learning ()

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...